Chasing new skills, going back to basics and pushing for collective action: how software engineers are adapting to AI

Software engineering teams are downsizing and reconfiguring as AI automates routine tasks, according to coverage from IT Brew, CIO Dive, and The New Stack. Engineers are now expected to manage workflows, mentor peers, and fill gaps left by AI—raising questions about productivity and role expansion. Meanwhile, developers are prioritizing foundational skills and building tools tailored to their own needs, per The Register and The Guardian.

Coverage emphasizes a dual trend: individual engineers taking on managerial responsibilities without formal titles, and a push for collective problem-solving. The New Stack notes that individual contributors (ICs) are now acting as de facto leaders, while The Guardian highlights a return to core programming fundamentals alongside advocacy for industry-wide collaboration. Outlets like CIO Dive and IT Brew frame this as a structural shift, not just a temporary adjustment.

Watch for how companies formalize these changes—whether through new job titles, training programs, or tooling ecosystems. The focus on developer-built tools could accelerate if teams resist vendor-driven solutions. Collective action, such as open-source initiatives or union-like advocacy groups, may also gain traction as engineers seek to influence AI’s role in their workflows.